NVIDIA H20 141GB HBM3e vs NVIDIA H100 NVL 94GB

The H100 delivers 36% more FP32 throughput than the H20 (60 vs 44 TFLOPS dense). The H20 counters with 47 GB more memory (141 GB vs 94 GB).

H20: Hopper, 2025 H100: Hopper, 2023
FP32 dense lead
+36%
H100: 60 vs 44 TFLOPS
Memory
141 vs 94 GB
47 GB more for the H20
Bandwidth
4.0 TB/s vs 3.9 TB/s
H20 moves data faster
TDP
400 W vs 400 W
Same power budget

Specifications

H20
H100
Architecture
HopperHopper
Launch Year
20252023
Form Factor
SXMPCIe
Memory
141 GB94 GB
Memory Bandwidth
4.0 TB/s3.9 TB/s
TDP
400 W400 W
Process Node
4nm4nm

Performance (TFLOPS)

H20
H100
FP64
1 TFLOPS 30 TFLOPS
FP32
44 TFLOPS 60 TFLOPS
TF32
74 TFLOPS
sparse not published
The vendor publishes only the 2:4 sparse figure for this precision
835 TFLOPS sparse
BF16
148 TFLOPS
sparse not published
The vendor publishes only the 2:4 sparse figure for this precision
1,671 TFLOPS sparse
FP16
148 TFLOPS
sparse not published
The vendor publishes only the 2:4 sparse figure for this precision
1,671 TFLOPS sparse
FP8
296 TFLOPS
592 TFLOPS sparse
The vendor publishes only the 2:4 sparse figure for this precision
3,341 TFLOPS sparse
FP6
No verified data available No verified data available
FP4
No verified data available No verified data available
INT8
296 TOPS
sparse not published
The vendor publishes only the 2:4 sparse figure for this precision
3,341 TOPS sparse
Tensor Core
FP64 (TC)
No verified data available60 TFLOPS

FLOPS by Precision

What actually differs

The H20 is the newer part: Hopper, launched in 2025, against the H100's Hopper from 2023. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Dense throughput for the H20 against the H100: FP64 1 vs 30 TFLOPS, FP32 44 vs 60 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 141 GB against 94 GB, fed at 4.0 TB/s versus 3.9 TB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

Power budgets are 400 W for the H20 and 400 W for the H100. At FP32 that works out to 0.11 against 0.15 TFLOPS per watt.

For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.

Frequently asked questions

Is the H20 faster than the H100?

At FP32 precision the H100 reaches 60 TFLOPS dense against 44 TFLOPS for the H20. The performance table on this page lists every published precision for both GPUs.

Which has more memory, the H20 or the H100?

The H20 carries 141 GB of memory versus 94 GB for the H100. Memory bandwidth is 4.0 TB/s for the H20 and 3.9 TB/s for the H100.

How much power do the H20 and the H100 draw?

The H20 is rated at 400 W TDP and the H100 at 400 W. On FP32 throughput per watt, the H100 is the more efficient part.

Can I rent the H20 or the H100 in the cloud?

Yes. Live cloud listings tracked by Flopper start at $2.37 per GPU hour. The rental pricing section on this page lists current providers and rates for both GPUs.

Where to Rent

NVIDIA H100 NVL 94GB

ProviderConfigurationPrice/GPU-hrChecked
GPU.ai
1× H100 NVL Community $2.37 2h ago View →
1× H100 NVL Community $2.59 2h ago View →
2× H100 NVL Community $2.67 2h ago View →
1× H100 NVL $3.19 2h ago View →
GPU.ai
1× H100 NVL $3.19 2h ago View →
1× H100 NVL $6.98 2h ago View →
2× H100 NVL $6.98 2h ago View →
1× H100 NVL $6.98 2h ago View →
Shadeform Massed Compute capacity
8× H100 NVL $3.16 2h ago View →
All H100 listings and price history →

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